Choose your first algorithm

Principal Component Analysis

An algorithm that only takes into account the most important variables, ignoring the rest.

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Linear Discriminant Analysis

An algorithm that finds a way to fit several variables into a new one within a different dimension.

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Correlation

An algorithm that finds variables that act similarly and ignores all of them but one.

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